Distributed greedy pursuit algorithms

作     者：Sundman, Dennis Chatterjee, Saikat Skoglund, Mikael 

作者机构：KTH Royal Inst Technol Sch Elect Engn S-10044 Stockholm Sweden KTH Royal Inst Technol ACCESS Linneaus Ctr S-10044 Stockholm Sweden 

出 版 物：《SIGNAL PROCESSING》 (信号处理)

年 卷 期：2014年第105卷

页      面：298-315页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

主　　题：Greedy algorithms Compressed sensing Distributed compressed sensing 

摘      要：For compressed sensing over arbitrarily connected networks, we consider the problem of estimating underlying sparse signals in a distributed manner. We introduce a new signal model that helps to describe inter-signal correlation among connected nodes. Based on this signal model along with a brief survey of existing greedy algorithms, we develop distributed greedy algorithms with low communication overhead. Incorporating appropriate modifications, we design two new distributed algorithms where the local algorithms are based on appropriately modified existing orthogonal matching pursuit and subspace pursuit. Further, by combining advantages of these two local algorithms, we design a new greedy algorithm that is well suited for a distributed scenario. By extensive simulations we demonstrate that the new algorithms in a sparsely connected network provide good performance, close to the performance of a centralized greedy solution. (c) 2014 Elsevier B.V. All rights reserved.